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Entry Level Statistician Jobs in Maine (NOW HIRING)

WSP

Early Career P&C Field Engineer

Hallowell, ME · On-site

$61 - $83/hr

Perform routine engineering functions and provide entry-level technical assistance on various ... location data, statistical documentation, engineering studies and surveys, and construction.

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All JobsStatistician JobsEntry Level Statistician JobsEntry Level Statistician Jobs in Maine

Entry Level Statistician information

See Maine salary details

$48.9K

$84.2K

$112.8K

How much do entry level statistician jobs pay per year?

As of Sep 3, 2026, the average yearly pay for entry level statistician in Maine is $84,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,700.00 and $95,400.00 per year, depending on experience, location, and employer.

What does an entry level statistician do?

An entry level statistician helps collect, analyze, and interpret data to support decision making in various industries such as healthcare, government, business, and research. They typically use statistical software to organize data, run basic analyses, and create reports or visualizations under the guidance of more experienced statisticians. Their work often involves tasks like cleaning datasets, checking for data accuracy, and helping to design surveys or experiments. Entry level statisticians usually collaborate with other team members to ensure the data supports the goals of a project and to communicate findings in a clear way.

What are the key skills and qualifications needed to thrive as an entry level statistician, and why are they important?

To thrive as an Entry Level Statistician, you need a solid background in statistics, mathematics, and data analysis, usually demonstrated by a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as data visualization tools, is typically required. Attention to detail, problem-solving ability, and clear communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data analysis, effective collaboration, and the ability to support decision-making processes within an organization.

What are some typical projects or tasks an entry level statistician might work on in their first year?

As an Entry Level Statistician, you can expect to assist with data collection, cleaning, and preliminary analysis under the guidance of more senior statisticians. Typical tasks include preparing datasets, running statistical tests, creating basic reports, and visualizing data to support research or business decisions. You'll often collaborate closely with data analysts, researchers, and subject matter experts to ensure data quality and relevance. This hands-on experience is an excellent foundation for developing technical skills and understanding how statistical methods are applied in real-world settings.

What is the difference between Entry Level Statistician vs Data Analyst?

AspectEntry Level StatisticianData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, government agencies, healthcare, financeBusiness, marketing, technology, finance
Employer UsageOrganizations needing statistical analysis and modelingCompanies analyzing data to inform business decisions

Entry Level Statisticians and Data Analysts often share similar educational backgrounds and work environments. However, statisticians focus more on developing models and conducting advanced statistical analysis, while data analysts typically interpret data to support business strategies. Both roles are essential in data-driven industries, but their specific tasks and focus areas differ.

More about Entry Level Statistician jobs

What are the most commonly searched types of Statistician jobs in Maine?

The most popular types of Statistician jobs in Maine are:

What are popular job titles related to Entry Level Statistician jobs in Maine?

For Entry Level Statistician jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistician jobs in Maine look for?

The top searched job categories for Entry Level Statistician jobs in Maine are:

Entry Level Statistician jobs near you
Infographic showing various Entry Level Statistician job openings in Maine as of August 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 86% In-person, 3% Hybrid, and 11% Remote job distribution, with an average salary of $84,157 per year, or $40.5 per hour.

Jr. Data Scientist 00021

West Coast Consulting

Westbrook, ME

$45 - $48/hr

Full-time

Medical, Life

Re-posted 26 days ago

Job description

Job Description Hybrid -Westbrook, ME Job Description: The Machine Intelligence team in R&D is looking for an entry-level Data Scientist to develop machine learning solutions for the hematology analyzers. In this role, you will work on classification and clustering problems on tabular data, with solutions deployed on edge hardware in our analyzer platforms. You will work under the supervision of a senior data scientist who will guide your technical development and project execution.

We are looking for a curious, adaptable team player eager to build foundational skills in applied machine learning. What you can expect: Develop classification and clustering models on tabular data to support hematology analyzer capabilities Contribute to model development, evaluation, and iteration under the guidance of a senior data scientist Partner with senior team members to understand requirements, explore data, and validate model performance Document your work clearly so it can be reviewed, reproduced, and built upon by the team Deploy your solutions to edge hardware What you need to succeed: 0-2 years of experience applying machine learning to real-world problems (internships, research, and coursework projects count) Strong working knowledge of Python and common data science libraries (pandas, scikit-learn, NumPy) Solid foundation in statistics, machine learning, and algorithms Demonstrated understanding of classification and clustering methods for tabular data, including when to apply which approach and how to evaluate results Curiosity about the data and the underlying generating processes - a habit of asking "why" before reaching for a model A growth mindset and willingness to learn from more senior team members Ability to communicate analyses and results clearly to your immediate team Bachelor's degree in a quantitative field (statistics, computer science, math, engineering, or related); advanced degree a plus Nice to have: Exposure to deploying ML models on resource-constrained or edge hardware Familiarity with model optimization techniques (quantization, ONNX, TFLite) Experience with version control (Git) and collaborative software development practices Experience modeling data for medical, diagnostic or life sciences applications

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